汽车驾驶员转向目标识别控制器设计研究  

Research on the Design of Target Recognition Controller about the Driver

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作  者:黄奕[1] 谭光兴[1] 严伟[1] 高慧君[1] HUANG Yi TAN Guang - xing YAN Wei GAO Hui - jun(College of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou Guangxi 545006, Chin)

机构地区:[1]广西科技大学电气与信息工程学院,广西柳州545006

出  处:《计算机仿真》2017年第6期139-142,共4页Computer Simulation

基  金:国家自然科学基金项目(61563005);广西自然科学基金项目(2015GXNSFAA139289);广西科技大学研究生教育创新计划项目(GKYC201626)

摘  要:精确的转向行为是车辆安全行驶的重要判据。为了使得所建立的驾驶员模型能够准确地完成预期转向操作,针对Varela免疫网络与控制系统的相似性,建立了免疫控制器模型,对所建立的加速度反馈驾驶员模型的校正环节进行控制调节。经过阶跃转向行驶工况的仿真得到了车辆的侧向位移和方向盘转角的响应输出。通过与无控制器作用下的系统输出以及与BP神经网络的驾驶员模型的系统输出作对比,仿真结果表明所建立的Varela免疫控制驾驶员模型能够准确地反应驾驶员的操纵行为,具有很好的无差跟踪能力,为驾驶员模型的继续研究以及车辆智能驾驶控制的发展提供了参考。Accurate steering behavior is an important criterion of vehicle safety driving. In order to make the driver model can accurately complete expected to steering operation, an immune controller model is established and used to control and adjust the emendation section in the acceleration feedback driver model based on the similarity between the Varela immune network and the control system. The response outputs of vehicle lateral displacements and steering wheel angles are obtained after the simulation test under the step steering driving condition. Compared with the output of the system which is not under the effect of controller, and the system output of the driver model based on the BP neural network, simulation results show that the driver model based on the Varela immune controller can give a good description of driver's operating behavior, it also provides a reference for the further research of the driver model and the development of the intelligent driving.

关 键 词:免疫网络模型 免疫控制器 驾驶员模型 

分 类 号:U461.6[机械工程—车辆工程]

 

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